SOTAVerified

Image Generation

Image Generation (synthesis) is the task of generating new images from an existing dataset.

  • Unconditional generation refers to generating samples unconditionally from the dataset, i.e. $p(y)$
  • Conditional image generation (subtask) refers to generating samples conditionally from the dataset, based on a label, i.e. $p(y|x)$.

In this section, you can find state-of-the-art leaderboards for unconditional generation. For conditional generation, and other types of image generations, refer to the subtasks.

( Image credit: StyleGAN )

Papers

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Showing 2151–2200 of 6689 papers

TitleStatusHype
Patronus: Bringing Transparency to Diffusion Models with PrototypesCode0
Early-Bird Diffusion: Investigating and Leveraging Timestep-Aware Early-Bird Tickets in Diffusion Models for Efficient TrainingCode0
EAR: Erasing Concepts from Unified Autoregressive ModelsCode0
Adv-KD: Adversarial Knowledge Distillation for Faster Diffusion SamplingCode0
Trade-offs in Fine-tuned Diffusion Models Between Accuracy and InterpretabilityCode0
Persistently Trained, Diffusion-assisted Energy-based ModelsCode0
Adversarial Training of Variational Auto-encoders for High Fidelity Image GenerationCode0
COCO-GAN: Generation by Parts via Conditional CoordinatingCode0
Parallel Backpropagation for Inverse of a Convolution with Application to Normalizing FlowsCode0
CoCoG-2: Controllable generation of visual stimuli for understanding human concept representationCode0
Dynamic Importance in Diffusion U-Net for Enhanced Image SynthesisCode0
PasteGAN: A Semi-Parametric Method to Generate Image from Scene GraphCode0
PALATE: Peculiar Application of the Law of Total Expectation to Enhance the Evaluation of Deep Generative ModelsCode0
ArtistAuditor: Auditing Artist Style Pirate in Text-to-Image Generation ModelsCode0
Paired 3D Model Generation with Conditional Generative Adversarial NetworksCode0
Progressive Augmentation of GANsCode0
PAGER: Progressive Attribute-Guided Extendable Robust Image GenerationCode0
Personalized Image Generation for Color Vision Deficiency PopulationCode0
DuoDiff: Accelerating Diffusion Models with a Dual-Backbone ApproachCode0
Overcoming the Disentanglement vs Reconstruction Trade-off via Jacobian SupervisionCode0
Adversarial Out-domain Examples for Generative ModelsCode0
Dual-Stream Reciprocal Disentanglement Learning for Domain Adaptation Person Re-IdentificationCode0
Dual Projection Generative Adversarial Networks for Conditional Image GenerationCode0
P^2-GAN: Efficient Style Transfer Using Single Style ImageCode0
Enhancing Neural Network Representations with Prior Knowledge-Based NormalizationCode0
Generalized Compressed Sensing for Image Reconstruction with Diffusion Probabilistic ModelsCode0
CLR-GAN: Improving GANs Stability and Quality via Consistent Latent Representation and ReconstructionCode0
DUAL-GLOW: Conditional Flow-Based Generative Model for Modality TransferCode0
Artificial Generation of Big Data for Improving Image Classification: A Generative Adversarial Network Approach on SAR DataCode0
Optimal Eye Surgeon: Finding Image Priors through Sparse Generators at InitializationCode0
Optimal Linear Subspace Search: Learning to Construct Fast and High-Quality Schedulers for Diffusion ModelsCode0
Padding Tone: A Mechanistic Analysis of Padding Tokens in T2I ModelsCode0
ClothFlow: A Flow-Based Model for Clothed Person GenerationCode0
Open-Source Acceleration of Stable-Diffusion.cpp Deployable on All DevicesCode0
Adversarial Synthesis Learning Enables Segmentation Without Target Modality Ground TruthCode0
ArtGAN: Artwork Synthesis with Conditional Categorical GANsCode0
On the Issues of TrueDepth Sensor Data for Computer Vision Tasks Across Different iPad GenerationsCode0
DRMC: A Generalist Model with Dynamic Routing for Multi-Center PET Image SynthesisCode0
The Art of Food: Meal Image Synthesis from IngredientsCode0
DR-GAN: Distribution Regularization for Text-to-Image GenerationCode0
On the Diversity of Realistic Image SynthesisCode0
Pose Guided Person Image GenerationCode0
On gradient regularizers for MMD GANsCode0
On Learning 3D Face Morphable Model from In-the-wild ImagesCode0
A DNN Optimizer that Improves over AdaBelief by Suppression of the Adaptive Stepsize RangeCode0
ArtAug: Enhancing Text-to-Image Generation through Synthesis-Understanding InteractionCode0
On GANs and GMMsCode0
One-shot Generative Domain Adaptation in 3D GANsCode0
Class-Splitting Generative Adversarial NetworksCode0
Array Camera Image Fusion using Physics-Aware TransformersCode0
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All datasetsImageNet 256x256CIFAR-10ImageNet 64x64ImageNet 512x512FFHQ 256 x 256CelebA 64x64ImageNet 32x32LSUN Bedroom 256 x 256STL-10LSUN Churches 256 x 256ImageNet 128x128FFHQ 1024 x 1024

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Improved DDPMFID12.3—Unverified
2ADMFID11.84—Unverified
3BigGAN-deepFID8.1—Unverified
4Polarity-BigGANFID6.82—Unverified
5VQGAN+Transformer (k=mixed, p=1.0, a=0.005)FID6.59—Unverified
6MaskGITFID6.18—Unverified
7VQGAN+Transformer (k=600, p=1.0, a=0.05)FID5.2—Unverified
8CDMFID4.88—Unverified
9ADM-GFID4.59—Unverified
10RINFID4.51—Unverified
#ModelMetricClaimedVerifiedStatus
1PresGANFID52.2—Unverified
2RESFLOWFID48.29—Unverified
3Residual FlowFID46.37—Unverified
4GLF+perceptual loss (ours)FID44.6—Unverified
5ProdPoly no activation functionsFID40.45—Unverified
6ProdPoly no activation functionsFID36.77—Unverified
7ACGANFID35.47—Unverified
8DenseFlow-74-10FID34.9—Unverified
9NVAE w/ flowFID32.53—Unverified
10QSNGANFID31.97—Unverified
#ModelMetricClaimedVerifiedStatus
1GLIDE + CLSFID30.87—Unverified
2GLIDE + CLIPFID30.46—Unverified
3GLIDE + CLS-FREEFID29.22—Unverified
4GLIDE + CLIP + CLS + CLS-FREEFID29.18—Unverified
5PGMGANFID21.73—Unverified
6CLR-GANFID20.27—Unverified
7FMFID14.45—Unverified
8CT (Direct Generation, NFE=1)FID13—Unverified
9CT (Direct Generation, NFE=2)FID11.1—Unverified
10GLIDE +CLSKID7.95—Unverified